Evidence map›Paper›PMID 35857239›Full record

ArticleGenetica2022

Solving the grand challenge of phenotypic integration: allometry across scales.

François Vasseur, Adrianus Johannes Westgeest, Denis Vile, Cyrille Violle

Abstract read
In one paragraph

Article in Genetica, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

François VasseurCEFE, University Montpellier, CNRS, EPHE, IRD, Montpellier, France. francois.vasseur@cefe.cnrs.fr.ORCID http://orcid.org/0000-0002-0575-6216
Adrianus Johannes WestgeestCEFE, University Montpellier, CNRS, EPHE, IRD, Montpellier, France.
Denis VileLEPSE, University Montpellier, INRAE, Institut Agro, Montpellier, France.
Cyrille ViolleCEFE, University Montpellier, CNRS, EPHE, IRD, Montpellier, France.

Funding

European Research Council ERC-StG-2014-639706European Research Council ERC-StG-2020-949843
6 · The paper itself

Abstract

Phenotypic integration is a concept related to the cascade of trait relationships from the lowest organizational levels, i.e. genes, to the highest, i.e. whole-organism traits. However, the cause-and-effect linkages between traits are notoriously difficult to determine. In particular, we still lack a mathematical framework to model the relationships involved in the integration of phenotypic traits. Here, we argue that allometric models developed in ecology offer testable mathematical equations of trait relationships across scales. We first show that allometric relationships are pervasive in biology at different organizational scales and in different taxa. We then present mechanistic models that explain the origin of allometric relationships. In addition, we emphasized that recent studies showed that natural variation does exist for allometric parameters, suggesting a role for genetic variability, selection and evolution. Consequently, we advocate that it is time to examine the genetic determinism of allometries, as well as to question in more detail the role of genome size in subsequent scaling relationships. More broadly, a possible-but so far neglected-solution to understand phenotypic integration is to examine allometric relationships at different organizational levels (cell, tissue, organ, organism) and in contrasted species.

Indexed as

PhenotypeBody SizeAllometryGenome sizeMetabolic scalingPhenotypic integrationTrait relationships

Identifiers

PMID35857239
PMCPMC9355930

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.